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Salesforce Plat-Admn-201 Prüfungsplan:

Thema	Einzelheiten
Thema 1	Agentforce AI: This domain introduces AI-powered agents in Salesforce, covering use cases, configuration in Agent Builder, security considerations, and troubleshooting agent permissions.
Thema 2	Data and Analytics Management: This domain focuses on data operations including importing, exporting, and backing up data, maintaining data quality through validation rules, and creating reports and dashboards while understanding sharing model impacts.
Thema 3	Service and Support Applications: This domain covers case management systems, including case assignment, queues, and automation through escalation rules, auto-response rules, and Einstein for Service.
Thema 4	Object Manager and Lightning App Builder: This domain focuses on Salesforce data architecture, including object relationships, field customization, page layout management, and understanding the implications of field deletions on dependent features.

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Plat-Admn-201 Lernressourcen - Plat-Admn-201 Übungsmaterialien

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Salesforce Certified Platform Administrator Plat-Admn-201 Prüfungsfragen mit Lösungen (Q59-Q64):

59. Frage
Ursa Major Solar is adding objects to a custom report type. How many objects, maximum, can be added to this report type?

A. One as long as the object has a master-child relationship
B. Four as long as the objects have associations
C. Two as long as the objects have associations
D. Unlimited as long as the objects have associations

Antwort: B

60. Frage
A sales manager at Cloud Kicks would like a dashboard to emphasize some important data and tell a more compelling data story to the sales reps. How should a Platform Administrator achieve this for the sales manager?

A. Assign a new Task to each rep.
B. Use a Text Widget.
C. Send out a mass email.
D. Use the Highlights Panel.

Antwort: B

Begründung:
In Salesforce Lightning Dashboards, Text Widgets allow administrators to add descriptive text, titles, and custom narratives directly alongside data visualizations. This is a key feature for "telling a compelling data story" because it allows the admin to provide context, explain the significance of certain charts, or provide instructions and motivational messages to the team. By adding text widgets, a dashboard moves from being a collection of raw charts to a guided analytical experience. The Highlights Panel (Option C) is a feature of Record Pages, not Dashboards.
Assigning tasks (Option B) or sending mass emails (Option D) are communication methods but do not enhance the visual or narrative quality of the dashboard itself. Text widgets empower administrators to highlight trends and call out specific goals, making the data more actionable and easier to interpret for the sales reps.

61. Frage
A new agent is being developed to help customer service reps process customer requests for a replacement product. The agent needs to call an action that takes two inputs:
productId: An 18 character ID for the product being replaced
reasonCode: A three-digit code representing the reason for the replacement Which set of agent instructions should a Platform Administrator use for these inputs, according to best practices for Agentforce instructions?

A. Instructions for productId: "The product ID. Retrieve this from the conversation history or the user's input." Instructions for reasonCode: "The three-digit replacement reason. This is required when the product ID is present."
B. Instructions for productId: "The 18 character ID of the product. Retrieve this from the conversation history or the user's input. Required." Instructions for reasonCode: "A three-digit code that specifies the reason for replacement. This is required only when the product ID is present."
C. Instructions for productId: "The 18 character ID of the product." Instructions for reasonCode: "A numerical code."
D. Instructions for productId: "ID from the product record." Instructions for reasonCode: "Code for the reason."

Antwort: B

Begründung:
Effective Agentforce instructions must be explicit about the data format, the source of the data, and the requirements for the input. Option D is the best choice because it provides the most detail for the Large Language Model (LLM). It specifies the format (18 character ID / three-digit code), the source (conversation history or user input), and the logic/dependency (required only when the product ID is present). This level of detail prevents the agent from guessing or providing incomplete data to the underlying Salesforce action. Options A and C are too vague and could lead to errors. Option B is better but lacks the explicit "Required" tag and format details found in Option D. High-quality instructions act as a contract between the agent's natural language understanding and the structured data requirements of the Salesforce system.

62. Frage
Users at DreamHouse Realty are only allowed to see opportunities they own. Leadership wants an enterprise-wide dashboard of all open opportunities in the pipeline so that users can see how the company is performing at any point in time. How should a Platform Administrator create the dashboard without changing any sharing settings?

A. Update the dashboard folder settings to manager for the sales reps role.
B. Add a filter to the dashboard to filter the opportunities by owner role.
C. Create a dashboard with the running user set as someone who can see all opportunities.
D. Build individual dashboards for profiles that need to see the enterprise results.

Antwort: C

Begründung:
In Salesforce, dashboards can be configured to run as a specific user, known as the Running User. This user's security settings determine which data is visible to anyone viewing the dashboard. To allow users with restricted record access (due to a Private sharing model) to see company-wide totals, the Platform Administrator should set the dashboard to "Run as a specified user" who has "View All" permissions or is high enough in the role hierarchy to see all records.
This creates a "Static Dashboard." While the viewers cannot click into individual records they don't own, they can see the summarized totals and charts for the entire organization. Using a Dynamic Dashboard or filtering by role (Option B) would still respect individual sharing and hide data. Changing folder settings (Option D) only affects who can open the dashboard, not the data displayed within it.

63. Frage
A Platform Administrator created a new prompt template and is testing it. Every time the administrator tests the template, it gives a different response. Why is the prompt template giving different responses each time it's run?

A. Prompt Builder caches the large language model's response, so the prompt is only sent once for every template the administrator creates.
B. The prompt is only sent to the large language model after the administrator deploys the template to a live agent, not when the prompt is run in the builder.
C. Every time the administrator runs a prompt template in Prompt Builder, it creates a unique call to the large language model.
D. Prompt Builder runs a simulated call to the large language model to save on costs, so the prompt is never sent to the actual model.

Antwort: C

Begründung:
Generative AI models are inherently probabilistic, meaning they do not produce the exact same output every time, even when given the same input. When a Platform Administrator uses the Prompt Builder to test a template, each "Preview" or "Test" execution initiates a fresh, unique call to the Large Language Model (LLM). Because the LLM considers a range of linguistic possibilities and probabilities for each word it generates, the resulting text will vary slightly (or significantly) with each iteration. This behavior is expected and is a core characteristic of generative AI. To ensure consistent and high-quality results, administrators must refine their instructions to be as specific as possible, narrowing the LLM's range of creative interpretation. Options A, C, and D are incorrect because the Prompt Builder is designed to provide real-time feedback from the actual LLM to help administrators debug and perfect the prompt's logic before it is deployed to end-users or agents.

64. Frage
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